Big Data is an accumulation of data sets which are abundant and intricate in character. They comprise both structured and unstructured data that evolve abundant, so speedy they are not convenient by classical relational database systems or current analytical tools. Big Data Analytics is not linearly able to expand. It is a predefined schema. Now big data is very helpful for backup of data not for everything else. There is always a data introducing. It also helps to solve India’s big problems. It also helps to fill the data gap. Health care is the conservation or advancement of health along the avoidance, interpretation and medical care of disorder, bad health, abuse, and other substantial and spiritual deterioration in mortal. Health care is expressed by health experts in united health experts, specialists, physician associates, mid-wife, nursing, antibiotic, pharmacy, psychology and other health. This paper focuses on providing information in the area of big data analytics and its application in medical domain. Further it includes introduction, Challenging aspects and concerns, Big Data Analytics in use, Technical Specification, Research application, Industry application and Future applications.

We know various scheduling algorithm like EDF, RMA that are popularly used for sharing a set of serially reusable resources. But for share non preemptable resources those algorithm cannot satisfactorily be used. The main intent of resource access protocol is to schedule, and synchronizes the tasks when many tasks use same resources, means where resource is shared. So here in this paper the traditional techniques of resource access protocol which are used to share critical resources among a set of real time tasks, is discussed. This paper is mainly focusing on the different types of resource access protocols and their comparisons.